Triple
T35068137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Prince |
E1011787
|
entity |
| Predicate | isRelatedFictionalCounterpartTo |
P182496
|
FINISHED |
| Object | Princess Bubblegum |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Princess Bubblegum | Statement: [Gary Prince, isRelatedFictionalCounterpartTo, Princess Bubblegum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRelatedFictionalCounterpartTo Context triple: [Gary Prince, isRelatedFictionalCounterpartTo, Princess Bubblegum]
-
A.
fictionalCounterpartIn
Indicates that one entity serves as a fictional analogue or stand-in for another entity within a specified work or fictional universe.
-
B.
isFictionalTwinOf
Indicates that one entity is the imagined or fictional twin counterpart of another entity, typically within a narrative or creative context.
-
C.
hasFictionalAlterEgoOf
Indicates that one entity is the fictional alter ego, persona, or alternate identity of another entity.
-
D.
namedAsTelevisionCounterpartOf
Indicates that one entity is designated as the television-version counterpart of another entity, typically across different media or adaptations.
-
E.
hasFictionalSibling
Indicates that one entity is a fictional character who is a sibling of another entity.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76dd193108190af2528186f25b72a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78dbf72648190a4971a558e9d1889 |
completed | May 3, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78ce43094819093857fc99f269afe |
completed | May 3, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:01 p.m.